• Title/Summary/Keyword: AI convergence education

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Exploring the Operating and Supporting Direction of AI Curriculum by Analyzing A High School Case Study

  • Sungryong Ju;Seulgi Song;Seung-Bo Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.175-186
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    • 2023
  • This study was conducted to explore the necessary conditions and support for stable operation of an expanded AI curriculum in education. A high school that has implemented an AI curriculum since 2020 was targeted, and students and teachers were surveyed on their perceptions of the AI curriculum, implementation and support strategies. The survey items were categorized into 1) experience with AI education, 2) implementation direction of AI education, and 3) expected effects through AI education, and the results were derived focusing on frequency analysis to identify trends. The analysis resulted in three implications. First, it was suggested that the activation of AI education. Second, the need to develop a hands-on AI curriculum and incorporate AI throughout the entire curriculum was highlighted. Third, it was emphasized that efforts to enhance the capabilities of teachers to implement AI teaching and learning, along with the expansion of physical infrastructure for hands-on education, are necessary.

Design of Liberal Arts Subjects for Artificial Intelligence Education for Pre-Teachers in Elementary and Secondary Schools (초중등 예비교사의 인공지능 교육을 위한 교양 교과목 설계)

  • Jun, SooJin;Jeon, YongJu;Jeong, InKee
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.859-869
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    • 2021
  • The purpose of this study was to develop an AI liberal arts subject for pre-service teachers of all majors in elementary and middle school. To this end, the main areas of the AI curriculum, sub-themes for each week, and activities were specifically designed and verified through two rounds of Delphi by 13 experts. The AI liberal arts curriculum in this study consists of three areas. Then, detailed topics for each week were confirmed, and a total of 13 weeks were arranged according to the natural flow. It was intended to help teaching and learning by arranging learning activities based on the experiential learning model according to the learning content. It is expected that this study will be used as basic data for the development of various AI education subjects for pre-service teachers in elementary and secondary schools in the future.

A Study on the development of elementary school SW·AI educational contents linked to the curriculum(camp type) (교육과정과 연계된 초등학교 캠프형 SW·AI교육 콘텐츠 개발에 관한 연구)

  • Pyun, YoungShin;Han, JungSoo
    • Journal of Internet of Things and Convergence
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    • v.8 no.6
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    • pp.49-54
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    • 2022
  • Rapid changes in modern society after the COVID-19 have highlighted artificial intelligence talent as a major influencing factor in determining national competitiveness. Accordingly, the Ministry of Education planned a large-scale SW·AI camp education project to develop the digital capabilities of 4th to 6th grade elementary school students and middle and high school students who are in a vacuum in artificial intelligence education. Therefore, this study aims to develop a camp-type SW·AI education program for students in grades 4-6 of elementary school so that students in grades 4-6 of elementary school can acquire basic knowledge in artificial intelligence. For this, the meaning of SW·AI education in elementary school is defined and SW·AI contents to be dealt with in elementary school are: understanding of SW AI, 'principle and application of SW AI', and 'social impact of SW AI' was set. In addition, an attempt was made to link the set elements of elementary school SW AI education and learning with related subjects and units of textbooks currently used in elementary schools. As for the program used for education, entry, a software coding learning tool based on block coding, is designed to strengthen software programming basic competency, and all programs are designed to be operated centered on experience and experience-oriented participants in consideration of the developmental characteristics of elementary school students. In order for SW·AI education to be organized and operated as a member of the regular curriculum, it is suggested that research based on the analysis of regular curriculum contents and in-depth analysis of SW·AI education contents is necessary.

AiMind: AI Experience and Physical Computing Education Platform (AiMind: AI 체험 및 피지컬컴퓨팅 교육 플랫폼)

  • Se-Hoon Lee;Ki-Tea Kim;Jay Yun;Do-Hyung Kang;Young-Ho Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.395-396
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    • 2023
  • 본 논문에서는 디지털 전환 시대에 모든 사람들이 인공지능(AI) 체험부터 피지컬컴퓨팅을 통해서 SW·AI 융합해 아이디어를 쉽게 구현하고 교육 받을 수 있는 플랫폼을 구현하였다. AI 체험을 위해 P5.js와 텐서플로우에 기반한 ML5.js 라이브러리를 이용해 블록 코딩을 할 수 있도록 하였다. 또한 피지컬컴퓨팅에서는 마이크로비트와 아두이노, 라즈베리파이 등을 WebUSB를 통해서 PC와 연결하고 플랫폼에서 인공지능의 다양한 서비스와 융합시킬 수 있도록 제공한다.

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Development and Application of Artificial Intelligence Education Program for Secondary School Students using Self-Driving Cars (자율주행 자동차를 이용한 중등 학생 대상 인공지능 교육 프로그램 개발 및 적용)

  • Ryu, Hyein;Lee, Jeonghun;Cho, Jungwon
    • Journal of Digital Convergence
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    • v.19 no.7
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    • pp.227-236
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    • 2021
  • This study aims to develop an AI education program for secondary school students to help understand AI and to provide an experience of solving real-life problems by using AI, and to analyze the effectiveness of education. The education program based on the AI education system for K-12 developed in the previous study was composed of a total of 12 lessons by selecting the self-driving cars, which is emerging as a recent issue among real life problems, as the main topic. Classes were conducted for secondary school students who had experience in software education, and the effectiveness of education and class satisfaction were analyzed. As a result of the analysis, it was confirmed that the understanding of AI and the sense of AI efficacy were improved, and the class satisfaction was high in all items such as educational content, fun in class, difficulty of class, and interest in AI. Based on these results, implications for AI education for secondary students were proposed.

Methods for Implementing Environmental Education in Elementary Schools by using AI Programming (초등교육에서 인공지능 프로그래밍을 활용한 환경교육 적용 방법)

  • Lee, Yongbae
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.309-314
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    • 2021
  • Even though environmental education has been getting more attention along with the recent rapid increase of natural disasters such as heat wave, heavy snow and downpour, it is unlikely for elementary schools to provide actual lessons due to the shortage of financial support and educational resources. This study is designed to enhance the recycling judgement of the elementary students to define paper, glass, plastic, PET, metal by using AI programming. The survey from the student participants shows that the learning and practice with AI programming was positively helpful for more than 70% of the participants in knowledge obtaining and understanding of recycling. The participants also gained better understanding on artificial intelligence and got motivated to have more opportunities to learn artificial intelligence programming.

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A Case Study on the Pre-service Math Teacher's Development of AI Literacy and SW Competency (예비수학교사의 AI 소양과 SW 역량 계발에 관한 사례 연구)

  • Kim, Dong Hwa;Kim, Seung Ho
    • East Asian mathematical journal
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    • v.39 no.2
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    • pp.93-117
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    • 2023
  • The aim of this study is to explore the pre-service math teachers' characteristics of education to develop their AI literacy and SW competency, and to derive some implications. We conducted a 14-hours AI and SW education program for pre-service teachers with theory and practice, and an analysis on class observation data, video frames of classes and interview, Python programming assignments and papers. The results of this case study for 3 pre-service teachers are as follows. First, two students understood artificial neural network and deep learning system accurately, furthermore, all students conducted a couple of explorations related with performance improvement of deep learning system with interest. Second, coding and exploration activities using Python improved students' computational thinking as well as SW competency, which help them give convergence education in the future. Third, they responded positively to the necessity of AI literacy and SW competency development, and to applying coding to math class. Lastly, it's necessary to endeavor to give a coding education to the student's eye level according to his or her prerequisite and to ease the burden of student's studying AI technology.

Development of Artificial Intelligence Convergence Education Program for Elementary Education Using Decision Tree (의사 결정 나무를 활용한 초등 인공지능 융합 교육 프로그램 개발)

  • Hyunwoo Moon;Youngjun Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.227-228
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    • 2023
  • 정부의 인공지능 국가전략을 통해 인공지능 교육은 초등학교에서도 필수교육으로 대두되고 있다. 또한 인공지능 소양을 습득하기 위해 타 교과와 융합한 인공지능 융합 교육의 필요성이 증가하고 있고, 인공지능 발달에 대한 수학의 역할을 고려하여 수학 교과를 통해 인공지능의 이해를 기르는 것이 강조되고 있다. 따라서 본 연구에서는 수학 교과와 인공지능 교과가 융합한 인공지능 융합 교육 프로그램을 개발하기 위해 초등학교 3~4학년 수학 교과의 도형 분류를 의사 결정 나무 모델을 활용하여 가르치는 인공지능 융합 교육 프로그램을 개발하였다. 본 연구를 통해 개발된 프로그램은 초등학생의 인공지능 개념학습을 통한 인공지능 기초소양 함양뿐만 아니라 수학 교과의 이해 및 성취도 향상에 도움이 될 것으로 기대된다.

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An Influence of Accounting Information Education Characteristics on the Psychological Capital and Flow in Digital Convergence Society (디지털 컨버전스 사회에서 AI교육 특성변수가 심리적 자본과 플로워에 미치는 영향)

  • Lee, Shin-Nam
    • Journal of Digital Convergence
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    • v.14 no.4
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    • pp.139-147
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    • 2016
  • The purpose of this study is to identify the relationships between AI education characteristics and psychological capital, psychological capital and flow, AI characteristics and flow through meditating effect of psychological capital in the digital convergence society. There are three AI characteristics: correctness, usefulness, easy of use. This empirical study was examined by 282 questionnaires to the three universities that teach accounting information system. It was performed by three-step method of the hierarchical regression analysis for the multiple regression analysis and parameter using the SPSS 22.0. The results and implications by analysis are as follows. First, AI characteristics and psychological capital have statistically significant positive influence. From AI attribute, correctness was established as the most important element. Second, psychological capital positively(+) influences flow. It allowed for the developed in flow. Third, psychological capital was shown as the major meditative variable between AI characteristics and flow. Through these, this paper suggests to reinforce self-efficacy, hope, resilience, optimism.

A study on the development of IoT-based middle school SW·AI education contents -Connection with Curriculum- (IoT 기반 중학교 SW·AI 교육 콘텐츠 개발에 관한 연구 -교육과정과의 연계-)

  • Han, JungSoo;Lee, Kenho
    • Journal of Internet of Things and Convergence
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    • v.8 no.6
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    • pp.21-26
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    • 2022
  • This study aims to enhance the cultivation of SW·AI basic competencies of middle school students by forming and distributing SW·AI education programs for middle school students who form the basis of their lives. In addition, by planning SW·AI education programs in connection with the regular curriculum, it is intended to serve as a cornerstone for the public education of SW·AI education that will be implemented from 2025. To this end, the concept of SW and AI in middle school was first defined and a plan to link software/artificial intelligence learning factors to the regular curriculum was proposed, and based on this, SW·AI education programs for middle school students were prepared. Based on literature research, the understanding of artificial intelligence technology, the value of data, and the use of artificial intelligence technology in real life were set as SW·AI education contents, and educational programs were organized by linking them with the current middle school curriculum. All SW·AI education was organized in the form of practice rather than theory so that classes could be conducted centered on participants, and the purpose of the course was to cultivate the ability to use artificial intelligence technology in real life based on understanding artificial intelligence technology.